San Luca vs Gelbison: result 1-1 and analysis
Serie D - Girone IGroup I - 6Kick-off on October 17, 2021 at 01:00 PM (UTC)Stadio San Luca, Vorea
Full time
What was the result of San Luca vs Gelbison?
San Luca and Gelbison drew 1-1 on October 17, 2021.
Goalscorers
- 68′?Gelbison
- 81′?San Luca
What is the recent form of both teams?
Over their last 6 matches in all competitions, San Luca have 3 wins, 2 draws and 1 defeat; Gelbison have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2021 | Portici(away) | 1-1 | Serie D - Girone I |
| Oct 6, 2021 | Licata(away) | 0-2 | Serie D - Girone I |
| Oct 3, 2021 | FC Messina(home) | 1-0 | Serie D - Girone I |
| Sep 26, 2021 | Castrovillari(away) | 3-1 | Serie D - Girone I |
| Sep 22, 2021 | FC Messina(away) | 1-1 | Coppa Italia Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2021 | FC Messina(home) | 3-0 | Serie D - Girone I |
| Oct 6, 2021 | Biancavilla(away) | 1-0 | Serie D - Girone I |
| Oct 3, 2021 | Licata(home) | 1-1 | Serie D - Girone I |
| Sep 26, 2021 | Giarre(away) | 1-0 | Serie D - Girone I |
| Sep 22, 2021 | Santa Maria Cilento(home) | 0-1 | Coppa Italia Serie D |
How many goals should we expect?
San Luca score 1.3 and concede 1.0 goals per match over their last 6; Gelbison score 1.2 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San Luca | 1.3 | 1.0 | 1 | 4/6 | 2/6 |
| Gelbison | 1.2 | 0.8 | 7 | 7/15 | 5/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Gelbison | 34 | 17 | 9 | 8 | 44 | 32 | 60 |
A question about San Luca vs Gelbison?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy